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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-07-28 11:03:32</p>
            <p>spark.kmedoids.eval.tv.TestCase : -r Dropbox/eurecom-cluster/results/ -d commercials/dataset/ -s 200000000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.tv.ClaransTest</li>
                                    <li>spark.kmedoids.eval.tv.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.tv.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100673-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 10923</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>692.8905529906705</td>
                                                <td>35276</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1105.0208615979543</td>
                                                <td>33011</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1049.3770045714818</td>
                                                <td>31332</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1289.3282096649164</td>
                                                <td>31978</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1143.7764521530444</td>
                                                <td>32473</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>985.2270706644806</td>
                                                <td>33889</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>971.9178813982313</td>
                                                <td>32964</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1264.4061399047328</td>
                                                <td>33440</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>921.6056342576685</td>
                                                <td>31707</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>945.5609010261807</td>
                                                <td>34634</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>913.7828459745755</td>
                                                <td>30745</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1234.3342155266603</td>
                                                <td>34940</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1205.9202097386756</td>
                                                <td>33917</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>696.8216693760888</td>
                                                <td>34758</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1039.3935329714163</td>
                                                <td>33271</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>740.1998633503463</td>
                                                <td>33637</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>901.9442919453002</td>
                                                <td>31946</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>950.5061732461547</td>
                                                <td>31190</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1048.2845064167234</td>
                                                <td>33495</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1200.6008820415436</td>
                                                <td>36211</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>819.5000169933568</td>
                                                <td>39233</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1140.0104510894923</td>
                                                <td>30301</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>892.0394940987547</td>
                                                <td>31718</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1163.7679675669776</td>
                                                <td>33508</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>943.9508483131093</td>
                                                <td>31462</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1001.3134632411015</td>
                                                <td>32576</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1136.1277039907613</td>
                                                <td>32107</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1009.4972930966247</td>
                                                <td>31333</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1247.1181045372336</td>
                                                <td>31593</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>932.0664194092238</td>
                                                <td>32142</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1263.2828279702537</td>
                                                <td>31698</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1287.766872968508</td>
                                                <td>34317</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>891.2413542962788</td>
                                                <td>33197</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1208.208339660228</td>
                                                <td>33431</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1029.9704097137849</td>
                                                <td>34732</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1184.7707510023952</td>
                                                <td>31228</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1100.891631204937</td>
                                                <td>30866</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1024.178566207781</td>
                                                <td>31789</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1185.57485526583</td>
                                                <td>33214</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1182.0724919420343</td>
                                                <td>33742</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>885.1465070988359</td>
                                                <td>33717</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1136.1107582151178</td>
                                                <td>31505</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>954.2890187619197</td>
                                                <td>32876</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1008.2315244577512</td>
                                                <td>32163</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>970.7551652836927</td>
                                                <td>33383</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>787.1140271291497</td>
                                                <td>33666</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1108.488265789612</td>
                                                <td>31885</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>932.4856408824403</td>
                                                <td>31612</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>994.1823307516505</td>
                                                <td>31296</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1007.2649521162938</td>
                                                <td>32886</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1086.3971303647384</td>
                                                <td>33985</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1317.5066493101158</td>
                                                <td>32391</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1190.9746261471278</td>
                                                <td>36060</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>701.8215338285421</td>
                                                <td>32448</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1045.7990698383057</td>
                                                <td>32680</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>792.7589301514372</td>
                                                <td>30907</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>880.0087938962466</td>
                                                <td>30535</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1041.9461650286623</td>
                                                <td>30387</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>877.3496569559983</td>
                                                <td>33996</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1223.9930986822767</td>
                                                <td>34883</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>1015.0449449408422</td>
                                                        <td>33240.7</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>178.88789265815535</td>
                                                        <td>1480.6626574825073</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>931.3228340427252</td>
                                                        <td>32547.72854525018</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>1098.7670558389593</td>
                                                        <td>33933.67145474981</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.tv.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>1082.1674931284335</td>
                                                        <td>32709.35</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>138.36879354658132</td>
                                                        <td>1941.1771869287543</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>1017.4089043496897</td>
                                                        <td>31800.851111103646</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>1146.9260819071774</td>
                                                        <td>33617.848888896355</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>997.1311922344956</td>
                                                        <td>32663.049999999996</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>154.98332204561186</td>
                                                        <td>1465.4824416696729</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>924.5967647623312</td>
                                                        <td>31977.183104943146</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.tv.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>1069.6656197066602</td>
                                                        <td>33348.91689505684</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 2.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.tv.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.tv.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.tv.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.tv.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.19282073549803136</td>
                                                                            <td>0.0751397424073699</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.tv.HeuristicTest</th>
                                                                            <td>0.19282073549803136</td>
                                                                            <td>1.0</td>
                                                                            <td>0.736905660683987</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.tv.SimulatedAnnealingTest</th>
                                                                            <td>0.0751397424073699</td>
                                                                            <td>0.736905660683987</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.tv.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.tv.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.tv.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
        </div><!-- container -->
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                datasets = [{"label":"HeuristicTest","data":[{"x":2.0E8,"y":1015.0449449408422}]},{"label":"SimulatedAnnealingTest","data":[{"x":2.0E8,"y":997.1311922344956}]},{"label":"ClaransTest","data":[{"x":2.0E8,"y":1082.1674931284335}]}];
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